Determine Mean & Variation Effects
{"Image DocumentName": "Determine Mean & Variation Effects", "Image ImageDescription": "The graphs at right allow us to directly compare each factor\u2019s singular effect on both the mean and variation. Based on these graphs, Factors B and E are Mean Adjustment Factors since they affect the mean with little or no effect on the variability. Factor F is a Variance Adjustment Factor since it affects the variability with little or no effect on the mean. Factor A appears to affect both mean and variability. Affects Both. Affects Mean. Affects Variation. There were significant interactions!! So watch out basing conclusions on main effect plots only. These plots are ideal to use for this purpose if no interactions are present. For the students, it may be easier just to tile these 8 graphs but then there is no guarantee that the plots will be arranged as above. The graph above is quite involved. When making the main effects plots from the Factorial Plots menu, select both Y1 and StDevY1 as responses. Then select only 2 factors at a time, A & B first. Makes 2 plots. Then ctrl-E and select E & F. Makes 2 plots. Will need to make sure the scales are the same. If not, adjust BEFORE using the layout tool. Then highlight these 4 graphs and right-click to use the layout tool from the Graph Manager window. Arrange both Y1 graphs in the top row, arrange both StDevY1 graphs in the bottom row. Then choose Finish .", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}